Model-backed Premier League probabilities, BTTS, Over 2.5 and value bets — refreshed daily
Brighton have conceded just 8 goals in their last 10 and won to nil in 5 of them, while United’s last 10 have seen 13 conceded with BTTS landing in 8. The model leans slightly to a lower‑scoring script (U2.5 at 1.95 implied 51.3% vs model 51.55%), so odds look efficient rather than generous.
Home Win: 41.8%Every prediction on this page is produced by our AI model. It combines Premier League team form, expected goals (xG), goal-timing data, head-to-head records and live bookmaker odds, then surfaces the markets where the model disagrees most with the bookmaker.
For every fixture we publish the model's headline insight, win/draw/away probabilities, BTTS and Over 2.5 probabilities, and a Value Edge where applicable. Pro members unlock additional insights per match plus the full AI match report.
Predictions refresh multiple times per day — when fixtures are first published, when odds move materially, and again in the hours before kick-off. The Last Updated stamp above always reflects the most recent refresh.
Premier League predictions are arguably the toughest market in football — the most modelled, the most liquid, the most efficient. Our edge in the Premier League comes from blending live xG against shot-quality, scrappy late-window team news (rotations, suspensions, European hangovers) and how each side actually performs versus their underlying numbers. Most Premier League fixtures we cover will lean toward BTTS or Over 2.5 if the model spots a defensive mismatch, and toward unders/handicaps when one side is a clear technical mismatch.
Brighton have conceded just 8 goals in their last 10 and won to nil in 5 of them, while United’s last 10 have seen 13 conceded with BTTS landing in 8. The model leans slightly to a lower‑scoring script (U2.5 at 1.95 implied 51.3% vs model 51.55%), so odds look efficient rather than generous.
Liverpool have leaked 20 goals in their last 10 and 8 in their last 3, yet are 6W-2D-2L in their last 10 at Anfield with 3 home clean sheets. The model gives them a 67.1% win chance vs implied 62.1%, so Home Win at 1.61 (+8% value) is backed by their home resilience.
Fulham have conceded just 10 goals in their last 10 matches while Newcastle have shipped 20 in the same span, with the visitors allowing 2 per game and being outshot in 8 of 10. The model still rates Fulham only 41.8% to win, suggesting their defensive edge is real but not decisive.
West Ham concede 1.2 vs 1.84 xGA per game (12 in 10), while Leeds allow 0.8 vs 1.47 xGA (8 in 10) – both defences are outperforming the models. That aligns with the model favouring Under 2.5 Goals at 53.9% over Over 2.5 at 46.1%, hinting the market may slightly overrate a high‑scoring game.
Burnley and Wolves have shipped 41 goals across their last 20 combined games, yet their recent scoring rates project only 1.8 goals (0.9 + 0.9). With Under 2.5 Goals priced at 2.21 (implied 45.2%) versus a model probability of 53%, there’s a strong +17.1% value edge on a low‑scoring game.
Arsenal have conceded just 7 goals in 10 games, with 6 clean sheets and 3 in a row, while Palace have shipped 18 in the same span – a clear defensive mismatch. This underpins the short Away Win at 1.43 (implied 69.9% vs model 53.5%, poor value) and instead points towards Arsenal win-to-nil angles rather than backing the away moneyline at this price.
Forest are 5W-3D-2L over 10 matches and scoring in 9 of 10, yet have shipped 8 goals in their last 3 and are winless in that spell. Despite Bournemouth’s 10-game unbeaten run (4W-6D-0L), Home Win at 3.1 carries +18% value (model 38.1% vs 32.3% implied).
Sunderland home games are tight (0.8 scored per home match, 4 clean sheets in last 10) while Chelsea have failed to score in 6 of their last 10 and lost to nil in those 6. That supports Under 2.5 Goals at 2.16, which our model rates with +3% value (47.7% vs 46.3% implied).
Spurs have shipped 19 goals in their last 10 and 2.1 per game in their last 10 at home, while Everton have conceded 18 in 10 and 8 in their last 3. With 37 goals conceded combined in 20 games and Over 2.5 landing in 8 of Everton’s last 10, Over 2.5 at 1.70 (implied 58.8% vs model 57.4%) looks correctly priced but underlines a strong goals expectation.
Our model shows a +5.44% value edge for Under 2.5 goals. City’s matches go over 2.5 in 72% of home games, while Villa manage it in only 44% of away fixtures. In the last five games each side has exceeded 2.5 goals three and four times respectively, and the five recent head‑to‑heads averaged 2.6 goals with just three games over 2.5. The combined indicators suggest the market is pricing the under too low.
Each prediction is generated by combining Premier League team form, expected goals (xG), historical scoring trends, head-to-head data and current bookmaker odds. The model is re-run every few hours, so the Premier League predictions on this page always reflect the latest market and team data.
BTTS (Both Teams To Score) probability is the model's estimated chance that both sides will score at least one goal in Premier League. A BTTS probability above 60% is treated as a strong signal; below 45% is weak. You can compare BTTS trends across leagues on our BTTS statistics page.
Value Edge is the gap between our AI's probability for an outcome and the bookmaker's implied probability from the odds. A positive Value Edge means the bookmaker is pricing the outcome lower than our model expects, which is what we flag as a value bet in Premier League.
Our model is back-tested on tens of thousands of historical Premier League matches and is regularly recalibrated. Accuracy varies by market — main result markets sit around industry benchmarks, while BTTS and Over 2.5 markets tend to score higher. No prediction is guaranteed; we recommend pairing them with our value bets and dropping odds tools before staking.
Predictions refresh multiple times per day — when fixtures are first published, when bookmaker odds move materially, and again in the hours before kick-off. The Last Updated timestamp at the top of the page reflects the most recent refresh.
Yes. The top insight for every fixture is free to view. OddAlerts Pro members also get access to additional insights per match, custom filters, and the full AI match report.
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OddAlerts is a football analytics platform providing AI-powered predictions since 2020. Our prediction model is developed by sports data scientists and continuously refined using machine learning techniques. We analyze over 100,000 matches annually across 2,500+ leagues to provide the most accurate and valuable insights. Discover trends, explore custom filters, or join thousands using our alert system.
